Sr. Manager, System Development, Amazon Manufacturing Services

Amazon • Bellevue, WA

20h • Onsite

About The Position

We're a fast-growing organization seeking an experienced Sr. Manager, System Development who specializes in advanced manufacturing systems, medium machining operations, and AI-driven automation to lead the design and optimization of high-volume manufacturing facilities for industrial equipment. This senior technical leader will own our smart manufacturing strategy end-to-end — from factory automation architecture and OT systems integration to AI/ML deployment at the edge. You are a systems thinker who understands how machines, software, data, and people interact across the full manufacturing stack. You bring hands-on experience with medium machining environments (roll forming, laser cutting, robotic assembly, powder coating) and know how to translate that domain knowledge into scalable, intelligent production systems. You are a data-driven decision-maker who leverages digital twin modeling, simulation, and AI-powered analytics to rapidly evaluate options and drive decisive action. You bridge the gap between operational technology (OT) and information technology (IT), and you know how to architect systems — not just manage them.

Requirements

• Bachelor's degree
• 8+ years of experience in manufacturing systems engineering, factory automation, or related disciplines
• Hands-on experience with medium machining environments and automated production systems (roll forming, laser cutting, robotic assembly, or equivalent)
• Demonstrated experience architecting and deploying OT systems including SCADA, MES, PLC/control systems, and edge computing infrastructure
• Proven track record of integrating AI/ML tools into manufacturing operations (predictive maintenance, quality control, process optimization)
• Experience leading cross-functional engineering teams in a fast-paced, high-growth environment
• Strong understanding of IT/OT convergence, industrial networking protocols, and ISA-95 compliant data models

Nice To Haves

• 5+ years of managing an engineering team operating at scale experience
• MBA, or Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
• Experience with digital twin modeling and factory simulation tools (e.g., Plant Simulation, Tecnomatix, or equivalent)
• Familiarity with AI orchestration frameworks and edge AI deployment in manufacturing environments
• Experience with high-mix robotic assembly cells and automated material handling systems
• Background in systems engineering methodologies and integration architecture documentation

Responsibilities

• Lead the design and implementation of AI-enhanced manufacturing systems, including SCADA, MES, PLC integration, edge computing, and IT/OT convergence layers
• Define and own the factory automation architecture, establishing integration standards across industrial protocols, data exchange formats, and AI inference pipelines
• Deploy AI/ML models at the edge to enable real-time process control, predictive maintenance, and automated quality inspection
• Develop and validate advanced factory simulation and digital twin models to optimize production flow, capacity, and system interactions
• Apply deep knowledge of medium machining processes — including automated roll forming, laser cutting, powder coating, and robotic assembly cells — to drive process design and optimization
• Lead make-vs-buy decisions and evaluate supplier manufacturing capabilities using advanced analytics and systems-level thinking
• Drive smart factory layout planning and production line balancing with a focus on high-mix, high-volume operations with frequent program changes
• Lead and develop a team of systems development engineers spanning automation engineering, process engineering, industrial engineering, robotics, and manufacturing systems
• Mentor engineers in emerging technologies including AI/ML integration, OT systems, and Industry 4.0 toolsets
• Establish technical standards, best practices, and a culture of continuous improvement across the manufacturing systems organization
• Build a systems-first, AI-native engineering organization with differentiated capabilities across automation and process disciplines
• Develop comprehensive smart manufacturing strategies aligned with business objectives and growth targets
• Interface with and influence executive leadership to define manufacturing vision, resource requirements, and investment priorities for new operations
• Drive rapid, data-backed decision-making using AI-powered analytics, predictive modeling, and real-time manufacturing metrics

Benefits

• sign-on payments
• restricted stock units (RSUs)
• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Manager